Modding:NatFloat
This page was last verified for Vintage Story version 1.19.8.
A somewhat more natural random number generator. The main difference to pure random is that you can define a distribution to influence how often certain values are chosen.
Arguments
- avg: Average value
- var: Variation
- dist: Distribution type
Overview - Distribution modes | |
---|---|
Name | Explanation |
uniform | Select a random number between the value of avg-var and the value of avg+var (the default distribution). |
triangle | Select a random number with numbers near avg being the most commonly selected ones, following a triangle curve. |
gaussian | Select a random number with numbers near avg being the most commonly selected ones, following a gaussian curve. |
narrowgaussian | Select a random number with numbers near avg being the most commonly selected ones, following a narrow gaussian curve. |
verynarrowgaussian | Select a random number with numbers near avg being the most commonly selected ones, following a very narrow gaussian curve. |
inversegaussian | Select a random number with numbers near avg being the least commonly selected ones, following an upside down gaussian curve. |
narrowinversegaussian | Select a random number with numbers near avg being the least commonly selected ones, following an upside down narrow gaussian curve. |
invexp | Select a random number between the value of avg and the value of avg+var , with numbers near avg being preferred |
stronginvexp | Select a random number between the value of avg and the value of avg+var , with numbers near avg being strongly preferred |
strongerinvexp | Select a random number between the value of avg and the value of avg+var , with numbers near avg being very strongly preferred |
dirac | Select a random number between the value avg-var and avg+var only ONCE and then always 0. |
Here are some plots for these distributions. They are created by generating 8000 random numbers between 0 and 200, where the X-Axis is the resulting value and the Y-Axis the amount of times this value was chosen.
Translated to the Natfloat arguments the horizontal center point in these graphs denote the "avg" value, the width of the plot is determined by the "var" value. In json, the uniform distribution would be in the written as such: { avg: 100, var: 100, dist: "uniform" }
See also EvolvingNatFloat